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Together AI - Llama 3 8B Lite vs Qwen2.5-Max

Together AI - Llama 3 8B Lite (2025) and Qwen2.5-Max (2025) are compact production models from AI at Meta and Alibaba. Together AI - Llama 3 8B Lite ships a 8K-token context window, while Qwen2.5-Max ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Together AI - Llama 3 8B Lite is safer overall; choose Qwen2.5-Max when provider fit matters.

Specs

Released2025-07-152025-01-28
Context window8K
Parameters8B
Architecturedecoder onlydecoder only
LicenseOpen SourceApache 2.0
Knowledge cutoff2024-03-

Pricing and availability

Together AI - Llama 3 8B LiteQwen2.5-Max
Input price$0.1/1M tokens-
Output price$0.1/1M tokens-
Providers-

Capabilities

Together AI - Llama 3 8B LiteQwen2.5-Max
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Together AI - Llama 3 8B Lite, tool use: Together AI - Llama 3 8B Lite, and structured outputs: Together AI - Llama 3 8B Lite. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Together AI - Llama 3 8B Lite has $0.1/1M input tokens and Qwen2.5-Max has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Together AI - Llama 3 8B Lite when provider fit and broader provider choice are central to the workload. Choose Qwen2.5-Max when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.

FAQ

Is Together AI - Llama 3 8B Lite or Qwen2.5-Max open source?

Together AI - Llama 3 8B Lite is listed under Open Source. Qwen2.5-Max is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for function calling, Together AI - Llama 3 8B Lite or Qwen2.5-Max?

Together AI - Llama 3 8B Lite has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Together AI - Llama 3 8B Lite or Qwen2.5-Max?

Together AI - Llama 3 8B Lite has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, Together AI - Llama 3 8B Lite or Qwen2.5-Max?

Together AI - Llama 3 8B Lite has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Together AI - Llama 3 8B Lite and Qwen2.5-Max?

Together AI - Llama 3 8B Lite is available on Together AI. Qwen2.5-Max is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Together AI - Llama 3 8B Lite over Qwen2.5-Max?

Together AI - Llama 3 8B Lite is safer overall; choose Qwen2.5-Max when provider fit matters. If your workload also depends on provider fit, start with Together AI - Llama 3 8B Lite; if it depends on provider fit, run the same evaluation with Qwen2.5-Max.

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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.